Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Nagel, Daniel"'
Publikováno v:
J. Chem. Phys. 161, 054108 (2024)
While the linear Pearson correlation coefficient represents a well-established normalized measure to quantify the interrelation of two stochastic variables $X$ and $Y$, it fails for multidimensional variables such as Cartesian coordinates. Avoiding a
Externí odkaz:
http://arxiv.org/abs/2405.04980
Adopting a $300 \, \mu$s-long molecular dynamics (MD) trajectory of the reversible folding of villin headpiece (HP35) published by D. E. Shaw Research, we recently constructed a Markov state model (MSM) of the folding process based on interresidue co
Externí odkaz:
http://arxiv.org/abs/2306.04331
Markov state models represent a popular means to interpret molecular dynamics trajectories in terms of memoryless transitions between metastable conformational states. To provide a mechanistic understanding of the considered biomolecular process, the
Externí odkaz:
http://arxiv.org/abs/2303.03814
Autor:
Nagel, Daniel Matthias
Fibronectin-leucine-rich-repeat-transmembrane proteins (FLRTs) are a family of three single pass transmembrane proteins with extracellular leucine rich repeats and a short intracellular domain of largely unknown function. They are broadly expressed i
Externí odkaz:
http://edoc.ub.uni-muenchen.de/17895/1/Nagel_Daniel_M.pdf
http://nbn-resolving.de/urn:nbn:de:bvb:19-178954
http://nbn-resolving.de/urn:nbn:de:bvb:19-178954
To interpret molecular dynamics simulations of biomolecular systems, systematic dimensionality reduction methods are commonly employed. Among others, this includes principal component analysis (PCA) and time-lagged independent component analysis (TIC
Externí odkaz:
http://arxiv.org/abs/2204.02770
Autor:
Zuniga, José M *, Prachniak, Corey, Policek, Nicoletta, Magula, Nombulelo, Gandhi, Anisha, Anderson, Jane, Diallo, Dázon Dixon, Lima, Viviane Dias, Ravishankar, Sindhu, Acharya, Shrikala, Achrekar, Angeli, Adeleke, Monsurat, Aïna, Élodie, Baptiste, Solange, Barrow, Geoffrey, Begovac, Josip, Bukusi, Elizabeth, Castel, Amanda, Castellanos, Erika, Cestou, Jorge, Chirambo, Gertrude, Crowley, Jeffrey, Dedes, Nikos, Ditiu, Lucica, Doherty, Meg, Duncombe, Chris, Durán, Adriana, Futterman, Donna, Hader, Shannon, Kounkeu, Chyrol, Lawless, Fran, Lazarus, Jeffrey V, Lex, Sabine, Lobos, Carlos, Mayer, Kenneth, Mejia, Maria, Moheno, H Rodrigo, d'Arminio Monforte, Antonella, Morán-Arribas, Mónica, Nagel, Daniel, Ndugwa, Robert, Ngunu, Carol, Poonkasetwattana, Midnight, Prins, Maria, Quesada, Amara, Rudnieva, Olga, Ruth, Simon, Saavedra, Jorge, Toma, Lance, Wanjiku Njenga, Lucy, Williams, Brian
Publikováno v:
In The Lancet HIV September 2024 11(9):e607-e648
Akademický článek
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Autor:
Nagel, Daniel
Background: Using technology requires nurses to capture, retrieve and organize digital data within virtual environments. Nurses often integrate digital data with other data sources when providing patient care with telehealth technologies and conducti
Externí odkaz:
http://hdl.handle.net/10393/35923
Autor:
Zuniga, José M, Prachniak, Corey, Policek, Nicoletta, Magula, Nombulelo, Gandhi, Anisha, Anderson, Jane, Diallo, Dázon Dixon, Lima, Viviane Dias, Ravishankar, Sindhu, Acharya, Shrikala, Achrekar, Angeli, Adeleke, Monsurat, Aïna, Élodie, Baptiste, Solange, Barrow, Geoffrey, Begovac, Josip, Bukusi, Elizabeth, Castel, Amanda, Castellanos, Erika, Cestou, Jorge, Chirambo, Gertrude, Crowley, Jeffrey, Dedes, Nikos, Ditiu, Lucica, Doherty, Meg, Duncombe, Chris, Durán, Adriana, Futterman, Donna, Hader, Shannon, Kounkeu, Chyrol, Lawless, Fran, Lazarus, Jeffrey V, Lex, Sabine, Lobos, Carlos, Mayer, Kenneth, Mejia, Maria, Moheno, H Rodrigo, d'Arminio Monforte, Antonella, Morán-Arribas, Mónica, Nagel, Daniel, Ndugwa, Robert, Ngunu, Carol, Poonkasetwattana, Midnight, Prins, Maria, Quesada, Amara, Rudnieva, Olga, Ruth, Simon, Saavedra, Jorge, Toma, Lance, Wanjiku Njenga, Lucy, Williams, Brian
Publikováno v:
The Lancet HIV; September 2024, Vol. 11 Issue: 9 pe607-e648, 42p